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Build dnn module {#tutorial_dnn_build} |
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================ |
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Introduction |
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------------ |
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opencv_dnn module is placed in the secondary [opencv_contrib](https://github.com/Itseez/opencv_contrib) repositroy, |
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which isn't distributed in binary form, therefore you need to build it manually. |
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To do this you need to have installed: [CMake](http://www.cmake.org/download), git, and build system (*gcc* with *make* for Linux or *MS Visual Studio* for Windows) |
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Steps |
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----- |
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-# Make any directory, for example **opencv_root** |
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-# Clone [opencv](https://github.com/Itseez/opencv) and [opencv_contrib](https://github.com/Itseez/opencv_contrib) repos to the **opencv_root**. |
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You can do it in terminal like here: |
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@code |
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cd opencv_root |
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git clone https://github.com/Itseez/opencv |
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git clone https://github.com/Itseez/opencv_contrib |
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@endcode |
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-# Run [CMake-gui](https://www.johnlamp.net/cmake-tutorial-3-gui-tool.html) and set source and build directories: |
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- Set source code directory to **opencv_root**/opencv; |
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- Set binaries directory, for exmaple, to **opencv_root**/build_opencv. |
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This directory will contain built libraries. |
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-# Configure opencv: |
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- press *Configure*; |
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- choose the preffered project generator (Makefiles for Linux, MS Visual Studio for Windows); |
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- also you can set many opencv build options, for more details see @ref tutorial_linux_install. |
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-# In the appeared list of variables find variable `OPENCV_EXTRA_MODULES_PATH` and set it to the **opencv_root**/opencv_contrib. |
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-# *Configure* the project again, and set build options of dnn module: |
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- `BUILD_opencv_dnn` variable must exist and be checked. |
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- dnn module covers waste part of [Caffe](http://caffe.berkeleyvision.org) framework functionality. |
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However, to load Caffe networks libprotobuf is required. |
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You you can uncheck `BUILD_LIBPROTOBUF_FROM_SOURCES` flag to try use protobuf installed in your system. |
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Elsewise libpotobuf will be built from opencv sources. |
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- You can additionaly check `opencv_dnn_BUILD_TORCH_IMPORTER` variable to build [Torch7](http://torch.ch) importer. |
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It allows you to use networks, generated by Torch7 [nn](https://github.com/torch/nn/blob/master/README.md) module. |
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-# *Generate* the project and build it: |
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- If Makefiles generator on Unix was used, run the following in terminal: |
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@code |
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cd opencv_root/build_opencv |
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make all |
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@endcode |
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- If MS Visual Studio generator was used, then open OpenCV.sln from **opencv_root**/build_opencv folder in the Visual Studio, and build it by using F7 shortcut |
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-# Now you can build own program by using libraries were built into **opencv_root**/build_opencv/lib. |
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See the following tutorials to learn how to create a program using OpenCV: |
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- @ref tutorial_windows_install |
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- @ref tutorial_linux_gcc_cmake |
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